output
19982026
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations

Showing 2022 · cs.CVShow all

8 papers · 2 filters

cs.CV2022★ 242 cited

Feature Aggregation and Propagation Network for Camouflaged Object Detection

Tao Zhou, Yi Zhou, Chen Gong +2

Camouflaged object detection (COD) aims to detect/segment camouflaged objects embedded in the environment, which has attracted increasing attention over the past decades. Although…

cs.CV2022★ 4 cited

AlignVE: Visual Entailment Recognition Based on Alignment Relations

Biwei Cao, Jiuxin Cao, Jie Gui +5

Visual entailment (VE) is to recognize whether the semantics of a hypothesis text can be inferred from the given premise image, which is one special task among recent emerged visio…

cs.CV2022★ 22 cited

Towards Stable Co-saliency Detection and Object Co-segmentation

Bo Li, Lv Tang, Senyun Kuang +2

In this paper, we present a novel model for simultaneous stable co-saliency detection (CoSOD) and object co-segmentation (CoSEG). To detect co-saliency (segmentation) accurately, t…

cs.CV2022★ 12 cited

Efficient approach of using CNN based pretrained model in Bangla handwritten digit recognition

Muntarin Islam, Shabbir Ahmed Shuvo, Musarrat Saberin Nipun +5

Due to digitalization in everyday life, the need for automatically recognizing handwritten digits is increasing. Handwritten digit recognition is essential for numerous application…

cs.CV2022★ 17 cited

NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering

Tong Wang, Guanyu Yang, Qijia He +2

Attributed graph clustering is one of the most fundamental tasks among graph learning field, the goal of which is to group nodes with similar representations into the same cluster…

cs.CV2022★ 37 cited

Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation

Yuheng Jia, Guanxing Lu, Hui Liu +1

In this letter, we propose a novel semi-supervised subspace clustering method, which is able to simultaneously augment the initial supervisory information and construct a discrimin…

cs.CV2022★ 31 cited

Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition

Yan Yan, Tianzheng Liao, Jinjin Zhao +5

The sensor-based human activity recognition (HAR) in mobile application scenarios is often confronted with sensor modalities variation and annotated data deficiency. Given this obs…

cs.CV2022★ 48 cited

MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization

Yue Duan, Zhen Zhao, Lei Qi +4

The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization o…